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Materials Scientist - Machine Learning Materials Discovery

Job in Richland, Benton County, Washington, 99352, USA
Listing for: Pacific Northwest National Laboratory (PNNL)
Full Time position
Listed on 2026-06-17
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Materials Scientist 3 - Machine Learning for Materials Discovery

Join our Materials Sciences team as a Scientist, and be part of a diverse, multi-disciplinary team committed to integrating machine learning with experimentation and simulations for materials discovery and design. Our research aims at utilizing latest advances in artificial intelligence research to navigate complex multi-dimensional experimental and theoretical parameter spaces toward creating optimal materials for a sustainable clean energy future. One of the key aspects of our work involves developing frameworks that dynamically bridge the gaps between experimental insights and theoretical models through state-of-the-art active learning techniques.

By joining our team, you will have the opportunity to collaborate with leading experts and contribute to transformative research that shapes the future of data‑driven materials science at PNNL.

  • Develop and deploy new machine learning capabilities for physics‑guided materials design.
  • Work with experimental teams to establish autonomous materials science workflows.
  • Lead manuscript and proposal development efforts.
  • Present research findings at technical conferences and project review meetings.
Qualifications

Minimum Qualifications
  • BS/BA and 5+ years of relevant work experience
    -OR-
  • MS/MA and 3+ years of relevant work experience
    -OR-
  • PhD with 1+ year of relevant experience
Preferred Qualifications
  • Ph.D. in Physics, Chemistry, Materials science, Engineering, or a related field.
  • Proven background in developing machine learning solutions for physical science problems.
  • Excellent Python coding skills.
  • Experience with probabilistic machine learning and active learning techniques.
  • Experience with participating and leading the development of research proposals.
  • Excellent written and oral communication skills.

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and affirmative action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers
.

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